What Leaders Need to Know About AI with Kavita Ganesan

by David Dye | Sep 16, 2022 | Podcast | Artificial Intelligence business

Do you want to take advantage of artificial intelligence but are not sure where to start? The process can feel overwhelming—from analyzing existing processes and software systems and choosing where to apply AI automation, to preparing every tier of the organization for the transition.

In this episode, Kavita Ganesan, author of The Business Case For AI, takes the mystery out of implementing AI, sharing how to launch AI initiatives that get results. With real-world AI examples to spark your own ideas, you’ll learn how to identify high-impact AI opportunities, prepare for AI transitions, and measure your AI performance.

What Leaders Need to Know About AI

Why should human-centered leaders care about artificial intelligence?

AI Systems are here to make us a lot more productive. Ideally, they are going to help us to be more efficient and more effective.

What are we talking about with artificial intelligence? In the book, you define it but help our listeners. When you’re discussing artificial intelligence what exactly is that?

If you teach an AI system an algorithm to complete a specific task, it’s going to do that extremely accurately, even more accurately than humans. But it doesn’t have the common sense, reasoning, and abstract thinking that humans have. So if it fails on a particular task, it’s not going to know how to resolve that issue. That’s where humans come in, and we need to help the AI system resolve the issues that the AI system cannot resolve.

Let’s discuss some other myths that you address in the book that are important for anyone who is either working with AI, relying on it, or thinking about implementing it. And why mistakes should be expected.

Why AI doesn’t eliminate bias.

Is it also a myth that sophistication is always superior?

When when we’re thinking about how artificial intelligence can improve our business processes and decision-making, what are some ways we can be thinking about using it to its best effect?

Using Artificial Intelligence to optimize decisions making and improve the efficiency of business processes.

Understanding the short-term and long-term benefits, and the metrics to measure the system before its development.